Work in progress: 82,651 of 181,233 sites checked so far, more every week · updated 2 Nov 2026Missing a blog? Tell us

Top all-time · #3370

S

Sam Greydanus

Personal blog · greydanus.github.ioaiprogrammingscience

Sam Greydanus writes Natural Intelligence, a personal blog at greydanus.github.io about ai, programming and science. Since 2017, 22 different Hacker News readers have linked it 26 times, most often “Decoding the Enigma with Recurrent Neural Networks”. It is still writing: the last post was on 2026-07-20, and you can follow it by feed.

Visit the blog
26mentions?
22HN people?
2017–2026first – last linked?
Links on Hacker News per year · peak 7 in 2020

A blog by Sam Greydanus

Most-linked posts?

  1. Decoding the Enigma with Recurrent Neural Networks
    5 people · 5 mentions · first linked 2017-07-22
  2. Scaling Down Deep Learning
    5 people · 5 mentions · first linked 2020-12-02
  3. Hamiltonian Neural Networks
    3 people · 3 mentions · first linked 2019-06-17
  4. Finding paths of least action with gradient descent (2023)
    2 people · 2 mentions · first linked 2023-03-06
  5. Optimizing a Wing
    2 people · 2 mentions · first linked 2020-10-19

What Hacker News says?

  1. I found the previous Hamiltonian Neural Networks [0]. If the authors are here, I'd be interested to use [1] for a version with dissipation. [0] https://greydanus.github.io/2019/05/15/hamiltonian-nns/ [1] https://arxiv.org/abs/1902.04598

    Comment linking /2019/05/15/hamiltonian-nns/

    on “Lagrangian Neural Networks”
  2. Submitted Lagrangian Neural Networks as a story · 246 points

    HN discussion
  3. Some of the older posts are very cute. I enjoyed https://greydanus.github.io/2020/12/01/scaling-down/ on showing how many high-powered tricks you can do with a tiny NN of the sort that will train in seconds.

    Comment linking /2020/12/01/scaling-down/

    on “Finding paths of least action with gradient descent (2023)”
  4. Submitted Scaling Down Deep Learning as a story · 124 points

    HN discussion
  5. This is a beautiful blog, e.g. this one is one of my favorites https://greydanus.github.io/2020/10/14/optimizing-a-wing/

    Comment linking /2020/10/14/optimizing-a-wing/

    on “Scaling Down Deep Learning”
  6. Submitted Finding paths of least action with gradient descent (2023) as a story · 73 points

    HN discussion
  7. I remember John Carlos Baez having some interesting stuff: https://johncarlosbaez.wordpress.com/ Some other ones I had bookmarked the other day but haven't seen much in depth, mostly computer science based but more towards theory/math side: https://blog.computationalcomplexity.org/ https://semantic-domain.blogspot.com/ https://greydanus.github.io/ Also go to Terry Tao's blog and look at the sidebar, there are a lot…

    Comment linking /

    on “Ask HN: What are some interesting math and physics blogs you follow?”
  8. Submitted Optimizing a Wing as a story · 13 points

    HN discussion
  9. This is somewhat related: how do we build datasets that are better discriminators of model architectures, and are also easier to experiment on? https://greydanus.github.io/2020/12/01/scaling-down/

    Comment linking /2020/12/01/scaling-down/

    on “A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet”
  10. Submitted Scaling Down Deep Learning as a story · 8 points

    HN discussion
  11. Original source, https://greydanus.github.io/2017/01/07/enigma-rnn/

    Comment linking /2017/01/07/enigma-rnn/

    on “Decoding Enigma using a neural network”
  12. Submitted Decoding the Enigma with Recurrent Neural Networks as a story · 4 points

    HN discussion
  13. Submitted Decoding the Enigma with Recurrent Neural Networks as a story · 4 points

    HN discussion
  14. Submitted Neural Reparameterization Improves Structural Optimization as a story · 3 points

    HN discussion
  15. Submitted Simulating the Universe Could Yield Quantum Mechanics as a story · 3 points

    HN discussion
  16. Submitted Three Perspectives on Deep Learning as a story · 3 points

    HN discussion
  17. Submitted A Structural Optimization Tutorial as a story · 2 points

    HN discussion
  18. Submitted Scaling Down Deep Learning as a story · 2 points

    HN discussion
  19. Submitted Hamiltonian Neural Networks as a story · 2 points

    HN discussion
  20. Submitted Learning the Enigma with RNNs as a story · 2 points

    HN discussion
  21. Submitted Moviescape: Google Maps for Cinema as a story · 1 points

    HN discussion
  22. Submitted The Cursive Transformer as a story · 1 points

    HN discussion
  23. Submitted Finding Paths of Least Action with Gradient Descent as a story · 1 points

    HN discussion
  24. Submitted Hamiltonian Neural Networks as a story · 1 points

    HN discussion
  25. Submitted Decoding the Enigma with Recurrent Neural Networks as a story · 1 points

    HN discussion
  26. Submitted Decoding the Enigma with Recurrent Neural Networks as a story · 1 points

    HN discussion

Search all of HN for greydanus.github.io

Linked by the same people?